Azure Resource Visualizer

The Azure Resource Visualizer is a specialized technical utility designed for cloud architects, DevOps engineers, and developers working within the Microsoft Azure ecosystem. It streamlines the complex process of infrastructure auditing and documentation by programmatically analyzing live Azure environments to produce clear, visual representations of resource topologies. By leveraging Azure CLI and PowerShell, this skill extracts metadata from resource groups to construct accurate architecture diagrams, enabling teams to maintain up-to-date documentation without manual drawing. It is particularly valuable during cloud migration assessments, troubleshooting connectivity issues, or presenting infrastructure designs to stakeholders. The skill translates raw JSON outputs from Azure Resource Manager into structured Mermaid or PlantUML code, which can be rendered directly in VS Code or integrated into Markdown technical documentation.

• Automatically queries and analyzes Azure resource groups, subscriptions, and resource providers using Azure CLI.

• Generates hierarchical architecture diagrams using Mermaid.js and PlantUML syntax, supporting patterns like three-tier applications and microservices.

• Maps complex resource dependencies, including connections between storage accounts, App Service plans, subnets, and databases.

• Supports the analysis of existing ARM templates, allowing for visualization of infrastructure as code (IaC) before or after deployment.

• Facilitates document generation by exporting visual models into formats compatible with common documentation workflows.

• Requires an active Azure subscription and authenticated Azure CLI session (az login) with at least Reader-level permissions.

• Designed for use in scenarios such as infrastructure discovery, data flow auditing, and stakeholder reporting on cloud architecture.

• Inputs typically include resource group names or JSON export files of Azure resource objects.

• Outputs consist of valid Mermaid/PlantUML syntax; users should be familiar with basic Azure resource types and CLI usage for best results.

• Constraints: Reliability depends on the scope of permissions granted to the executing identity; highly complex architectures may require modular grouping for clear diagram generation.